This course is geared towards master students and PhD students who have visited the magnetic resonance imaging (MRI) course or have basic knowledge of MRI. The participants will learn concepts of advanced MRI encoding and decoding strategies. In particular the mathematical frameworks are developed to solve the inverse problem of fast acquisition strategies. The participants will also learn about quantitative MRI techniques and related data analysis techniques Matlab exercises and homework are used to deepen the understanding of the concepts.
Content:
MRI signal equation, direct Fourier reconstruction, advanced k-space trajectories and gridding reconstruction, parallel imaging, compressed sensing, RF-pulse design and two-dimensional excitation, quantitative MRI (flow, diffusion, relaxation time mapping), cardiac MRI.
- Trainer/in: Christoph Kolbitsch
- Trainer/in: Tobias Richard Schäffter
- Trainer/in: Peter Seufert
- Trainer/in: Olaf Tonnätt
- Trainer/in: Vivian Waldheim